{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"id":[{"id":"https:\/\/ror.org\/03mb6wj31","id-type":"ROR","asserted-by":"publisher"},{"id":"https:\/\/www.isni.org\/000000041937028X","id-type":"ISNI","asserted-by":"publisher"},{"id":"https:\/\/www.wikidata.org\/entity\/Q1640731","id-type":"wikidata","asserted-by":"publisher"}],"name":"Universitat Polit\u00e8cnica de Catalunya","acronym":["UPC"]}],"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:24:47Z","timestamp":1773246287204,"version":"3.50.1"},"reference-count":0,"publisher":"Universitat Polit\u00e8cnica de Catalunya","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>(English) The expeditious growth and development of Beyond-5G and 6G networks inaugurated a new sector in the research of cellular networking. Automation and scaling are now considered a necessity to cope with the anticipated demand of the new high-performing communication networks. The current networks expand at a rate that creates an urgent pressure for Infrastructure Providers to adopt intelligent, AI-based technologies for automated network management and orchestration. \r\n\r\nThis Ph.D. Thesis is dedicated to the development of an intelligent, automated and scalable service management and orchestration framework, that does not require human intervention to operate. Several experiments were conducted to modeland validate the use of the RL-based zero-touch management and orchestration algorithms under different conditions and settings. This Ph.D Thesis is divided into three main parts.\r\n\r\nThe first part is dedicated to the new paradigm that modern beyond 5G and 6G telecommunications brought to society. Speed, reliability, and scale are now at the epicenter of the industry. The enabling technologies that allow reaching the promised\r\nKey Performance Indicators are discussed. Slicing, the main focus of Beyond-5G networks is introduced and analyzed from both technical and business standpoints.\r\n\r\nThe second part of this dissertation is devoted to the automated management and orchestration of computing and network resources in 5G and beyond networks. A dynamic, resource-aware Virtual Network Functions placement AI-based algorithm is proposed and explained in detail. Later, an end-to-end data-driven service orchestration framework is proposed and discussed. A special vehicular Ultra-Reliable Low Latency Communications (URLLC) scenario is further explored to evaluate and demonstrate the performance of the proposed algorithms. The main focus of this part is the End-to-End average latency reduction for such services.\r\n\r\nFinally, in the third part is focused on the developed SCHEMA framework. A multi-domain, slice and service chain elastic management and orchestration framework.Three main variations of the proposed algorithm are explored, specifically\r\non latency and energy reduction and most importantly on safe automated decision making with distributed reinforcement learning.<\/jats:p>\n                <jats:p>(Catal\u00e0) El r\u00e0pid creixement i desenvolupament de les xarxes Beyond-5G i 6G va inaugurar un nou sector en la recerca de xarxes cel\u00b7lulars. L\u2019automatitzaci\u00f3 i l\u2019escalat es consideren ara una necessitat per fer front a la demanda prevista de les noves xarxes de comunicaci\u00f3 d\u2019alt rendiment. Les xarxes actuals s\u2019expandeixen a un ritme que crea una pressi\u00f3 urgent perqu\u00e8 els prove\u00a8\u0131dors d\u2019infraestructures adoptin tecnologies intel\u00b7ligents basades en IA per a la gesti\u00f3 i l\u2019orquestraci\u00f3 de xarxes automatitzades. Aquesta tesi doctoral est\u00e0 dedicada al desenvolupament d\u2019un marc d\u2019orquestraci\u00f3 i gesti\u00f3 de serveis intel\u00b7ligent, automatitzat i escalable, que no requereix intervenci\u00f3 humana per funcionar. Es van realitzar diversos experiments per modelar i validar l\u2019\u00fas dels algorismes d\u2019orquestraci\u00f3 i gesti\u00f3 sense toc basats en RL en diferents condicions i configuracions. Aquesta tesi doctoral es divideix en tres parts principals. La primera part est\u00e0 dedicada al nou paradigma que les telecomunicacions modernes m\u00e9s enll\u00e0 del 5G i 6G van aportar a la societat. La velocitat, la fiabilitat i l\u2019escala es troben ara a l\u2019epicentre de la ind\u00fastria. Es discuteixen les tecnologies habilitadores que permeten assolir els indicadors clau de rendiment promesos. Slicing, el focus principal de les xarxes Beyond-5G s\u2019introdueix i s\u2019analitza tant des del punt de vista t\u00e8cnic com empresarial. La segona part d\u2019aquesta tesi est\u00e0 dedicada a la gesti\u00f3 i orquestraci\u00f3 automatitzada de recursos inform\u00e0tics i de xarxa en xarxes 5G i m\u00e9s enll\u00e0. Es proposa i s\u2019explica amb detall un algorisme de col\u00b7locaci\u00f3 de funcions de xarxa virtual din\u00e0mic i conscient dels recursos basat en IA. M\u00e9s tard, es proposa i es discuteix un marc d\u2019orquestraci\u00f3 de serveis basat en dades d\u2019extrem a extrem. S\u2019explora un escenari especial de comunicacions de baixa lat\u00e8ncia ultra fiable (URLLC) per a vehicles per avaluar i demostrar el rendiment dels algorismes proposats. L\u2019objectiu principal d\u2019aquesta part \u00e9s la reducci\u00f3 de la lat\u00e8ncia mitjana d\u2019extrem a extrem per a aquests serveis. Finalment, en la tercera part se centra en el marc SCHEMA desenvolupat. Un marc d\u2019orquestraci\u00f3 i gesti\u00f3 el\u00e0stica de m\u00faltiples dominis, seccions i cadena de serveis. S\u2019exploren tres variacions principals de l\u2019algorisme proposat, espec\u00edficament sobre la lat\u00e8ncia i la reducci\u00f3 d\u2019energia i, el m\u00e9s important, sobre la presa de decisions automatitzada segura amb aprenentatge de refor\u00e7 distribu\u00eft.<\/jats:p>","DOI":"10.5821\/dissertation-2117-404663","type":"dissertation","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T02:23:05Z","timestamp":1710469385000},"approved":{"date-parts":[[2023,11,7]]},"source":"Crossref","is-referenced-by-count":1,"title":["Zero-touch service orchestration in 5G and beyond mobile networks"],"prefix":"10.5821","author":[{"sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anestis","family":"Dalgkitsis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3865","container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T06:45:50Z","timestamp":1769669150000},"score":1,"resource":{"primary":{"URL":"https:\/\/hdl.handle.net\/2117\/404663"}},"subtitle":[],"editor":[{"given":"Christos","family":"Verikoukis","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Konstantinos","family":"Ramantas","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Luis Gonzaga","family":"Alonso Z\u00e1rate","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5821\/dissertation-2117-404663","relation":{},"subject":[]}}